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Thongprayoon, Charat

https://orcid.org/0000-0002-8313-3604

Mayo Clinic

Mayo Clinic

Citations 365

Examining Insurance-Related Disparities in Kidney Transplantation Access and Outcomes: A Systematic Review and Bibliometric Analysis
Leeaphorn, Napat , Budhiraja, Pooja , Budhiraja, Pooja , Valencia, Oscar A. Garcia , Suppadungsuk, Supawadee , Thongprayoon, Charat , Jadlowiec, Caroline C. , Cheungpasitporn, Wisit

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.20247ck1zcjq Get It

Evaluating the Impact of Multiple Kidney Retransplants on Post-transplant Outcomes: An Analysis of the OPTN/UNOS Database
Thongprayoon, Charat, Craici, Iasmina , Leeaphorn, Napat , Valencia, Oscar A. Garcia , Thongprayoon, Charat , Miao, Jing , Cheungpasitporn, Wisit

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024vsh8qzqg Get It

Efficacy and Safety of Tool-Guided Dry Weight Adjustment among Dialysis Patients: A Meta-Analysis of Randomized Controlled Trials
Davis, Paul W. , Wathanavasin, Wannasit , Thongprayoon, Charat , Cheungpasitporn, Wisit

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024kw2qd5t1 Get It

Magnesium Levels and Mortality in Critically Ill Patients with AKI
Thongprayoon, Charat, Singh, Waryaam, Cheungpasitporn, Wisit, Singh, Waryaam , Singh, Waryaam , Suppadungsuk, Supawadee , Thongprayoon, Charat , Cheungpasitporn, Wisit , Kashani, Kianoush

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024atsvep9p Get It

Global Trends in Endothelin A Receptor Antagonist Research for Kidney Disease Management
Thongprayoon, Charat, Fülöp, Tibor, Krisanapan, Pajaree , Suppadungsuk, Supawadee , Thongprayoon, Charat , Soliman, Karim , Miao, Jing , Cheungpasitporn, Wisit

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024xpjz5cyq Get It

Impact of Obesity on Peritoneal Dialysis Outcomes: A Nationwide Inpatient Sample Analysis
Davis, Paul W. , Cheungpasitporn, Wisit, Kaewput, Wisit , Suppadungsuk, Supawadee , Thongprayoon, Charat , Kaewput, Wisit , Tangpanithandee, Supawit , Cheungpasitporn, Wisit

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024pzk92xpy Get It

Addressing Cognitive Impairment in Peritoneal Dialysis: A Systematic Review of Prevalence, Risk Factors, and Outcomes
Aiumtrakul, Noppawit , Thongprayoon, Charat , Yingchoncharoen, Pitchaporn , Wannaphut, Chalothorn , Suppadungsuk, Supawadee , Krisanapan, Pajaree , Cheungpasitporn, Wisit

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024cr6rk87d Get It

Assessing Global and Regional Interest in Home Dialysis Modalities, 2004-2024
Davis, Paul W. , Craici, Iasmina , Cheungpasitporn, Wisit, Thongprayoon, Charat , Miao, Jing , Suppadungsuk, Supawadee , Cheungpasitporn, Wisit

Journal of the American Society of Nephrology | October 28, 2024 | Volume: 35 | Issue: 10S | Pages: No page available

10.1681/asn.2024wfm4pxe5 Get It

Addressing cognitive impairment in peritoneal dialysis: a systematic review and meta-analysis of prevalence, risk factors, and outcomes
Aiumtrakul, Noppawit , Thongprayoon, Charat , Wathanavasin, Wannasit , Cheungpasitporn, Wisit , Wathanavasin, Wannasit , Krisanapan, Pajaree , Cheungpasitporn, Wisit , Thongprayoon, Charat , Aiumtrakul, Noppawit , Yingchoncharoen, Pitchaporn , Wannaphut, Chalothorn , Suppadungsuk, Supawadee , Krisanapan, Pajaree

Clinical Kidney Journal | October 16, 2024 | Volume: 17 | Issue: 11 | Pages: No page available

10.1093/ckj/sfae312 Get It

ABSTRACT Background Cognitive impairment (CI) is a critical complication in peritoneal dialysis (PD) patients, associated with decreased quality of life and increased hospitalization. Despite its significant impact, the prevalence, risk factors, and consequences of CI in PD patients are not well understood. We aimed to determine the prevalence, risk factors, and outcomes of CI in PD patients. Methods We performed systematic reviews in OVID Medline, Embase, and Cochrane databases until February 2024 to identify cross-sectional and cohort studies on prevalence of CI (identified by cognitive assessment scales) in PD patients. The Newcastle–Ottawa Scale was used to assess risk of bias. A pooled meta-analysis of CI prevalence in PD and a subgroup analysis comparing the risk of CI between PD and non-PD settings were performed using a random-effects model. Results A total of 19 studies were identified, involving 2882 PD patients. The pooled prevalence of CI in PD patients was 47.7% (95%CI: 35.8–59.9%). CI in patients undergoing PD appears to be associated with older age, female gender, lower levels of education, and is linked to higher rates of hospitalization and peritonitis, compared to those without CI. However, it is not associated with increased mortality. Compared to hemodialysis, PD showed a trend toward a lower risk of CI (OR 0.64, 95%CI 0.39–1.03; P = .068). Conclusion CI is highly prevalent and associated with several adverse clinical outcomes in PD patients. These findings could contribute to facilitate the development of screening and early intervention strategies to reduce the burden of disease in this population.
Reexamining Transplant Outcomes in Acute Kidney Injury Kidneys Through Machine Learning
Thongprayoon, Charat , Suppadungsuk, Supawadee , Tangpanithandee, Supawit , Leeaphorn, Napat , Heilman, Raymond L. , Cooper, Matthew , Cheungpasitporn, Wisit , Jadlowiec, Caroline , Thongprayoon, Charat , Suppadungsuk, Supawadee , Tangpanithandee, Supawit , Leeaphorn, Napat , Heilman, Raymond , Cooper, Matthew , Cheungpasitporn, Wisit , Jadlowiec, Caroline C.

Clinical Transplantation | October 5, 2024 | Volume: 38 | Issue: 10 | Pages: No page available

10.1111/ctr.15470 Get It

ABSTRACTBackgroundDespite many people awaiting kidney transplant, kidney allografts from acute kidney injury (AKI) donors continue to be underutilized. We aimed to cluster kidney transplant recipients of AKI kidney allografts using an unsupervised machine learning (ML) approach.MethodsUsing Organ Procurement and Transplantation Network–United Network for Organ Sharing (OPTN/UNOS) data, a consensus clustering cohort analysis was performed in 12 356 deceased donor kidney transplant recipients between 2015 and 2019 in whom donors had a terminal serum creatinine ≥1.5 mg/dL. Significant cluster characteristics were determined, and outcomes were compared.ResultsThe median donor terminal creatinine was 2.2 (interquartile range [IQR] 1.7–3.3) mg/dL. Cluster analysis was performed on 12 356 AKI kidney recipients, and three clinically distinct clusters were identified. Young, sensitized kidney re‐transplant patients characterized Cluster 1. Cluster 2 was characterized by first‐time kidney transplant patients with hypertensive and diabetic kidney diseases. Older diabetic recipients characterized Cluster 3. Clusters 1 and 2 donors were young and met standard kidney donor profile index (KDPI) criteria; Cluster 3 donors were older, more likely to have hypertension or diabetes, and meet high KDPI criteria. Cluster 1 had a higher risk of acute rejection, 3‐year patient death, and graft failure. Cluster 3 had a higher risk of death‐censored graft failure, patient death, and graft failure at 1 and 3 years. Cluster 2 had the best patient‐, graft‐, and death‐censored graft survival at 1 and 3 years. Compared to non‐AKI kidney recipients, the AKI clusters showed a higher incidence of delayed graft function (DGF, AKI: 43.2%, 41.7%, 45.3% vs. non‐AKI: 25.5%); however, there were comparable long‐term outcomes specific to death‐censored graft survival (AKI: 93.6%, 93.4%, 90.4% vs. non‐AKI: 92.3%), patient survival (AKI: 89.1%, 93.2%, 84.2% vs. non‐AKI: 91.2%), and overall graft survival (AKI: 84.7%, 88.2%, 79.0% vs. non‐AKI: 86.0%).ConclusionsIn this unsupervised ML approach study, AKI recipient clusters demonstrated differing, but good clinical outcomes, suggesting opportunities for transplant centers to incrementally increase kidney utilization from AKI donors.